Wolf Bergenheim
TSE Tech Lead Manager at Google
Zurich, Zurich, Switzerland
Summary
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RockstarWolf Bergenheim is a seasoned technical leader and hands-on engineer with 11+ years of experience, currently leading Technical Solutions Engineering for geospatial products at Google from Zurich. He combines deep C/C++ and Python expertise with a long-standing commitment to open-source GIS—contributing GRASS modules (including simulated annealing label placement) and mentoring for OSGeo in Google Summer of Code. Wolf has broad systems experience spanning networking protocols (XMPP, SIP, SOCKS5, HTTP, XCAP), middleware on MeeGo, and cloud-backed spatial APIs—recently implementing GeoJSON/point-in-polygon features and Cloud SQL integration for a Google Maps samples project. He has published applied research on using GRASS GIS as a Web Processing Service engine and enjoys solving algorithmic GIS problems as much as pragmatic production debugging. Colleagues rely on him for bridging low-level protocol work, geospatial algorithm design, and operational reliability across desktop and server Linux environments. An offbeat note: he trains rats to play basketball, reflecting a curiosity for unconventional problem-solving.
11 years of coding experience
Finnish, Swedish, English, German
Stackoverflow
416reputation
14kreached
10answers
0questions
Github Skills (22)
python10
apidoc10
geospatial10
geojson10
flask-ask10
spatial-data10
geo10
api10
sql10
spatial10
flask10
mysql9
cloud-sql9
database-design8
maps6
Programming languages (5)
Github contributions (5)
google/maps-for-work-samples
Aug 2014 - Mar 2016
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 commits, 1 PR, 2 pushes in 1 year 6 months
Contributions summary:Wolf primarily added code related to geospatial data processing and Cloud SQL database interaction. Their contributions focused on creating an API for retrieving GeoJSON data from a Cloud SQL database, demonstrating the use of SQL queries with geospatial functions. They also implemented a point-in-polygon (PIP) functionality, indicating a focus on spatial data analysis and API development using Python and Flask. The user appears to be enhancing the project's capabilities to handle spatial queries.
google/jacs
Mar 2015 - Oct 2015
Contributions:2 releases, 41 commits, 1 PR in 7 months
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